"sensitive to learn" is not a correct or common phrase in English.
It is likely a mistranslation from another language. Instead, you could say "eager to learn" or "open to learning" to convey a similar idea. Example: John was always eager to learn new skills and constantly sought out opportunities to improve his knowledge.
There is so much written now about schools sensitive to learning disabilities.
Women may be more sensitive to learning processes driven by repeated nicotine exposure that influence conditioned approach and craving.
The model predicts that memory representations should be sensitive to learning order.
We pursue two separate analyses: an analysis ofindependent variables, in which we tie each study to a particular guiding learning theory in an attempt to determine which guiding theory has had the most predictive success; and an analysis of dependent variables, which enables us to determine which measurement techniques have been most sensitive to the learning benefits of AV technology.
Such collection of records allowed the government to learn sensitive and privileged information about the ACLU's work and "is likely to have a chilling effect on whistleblowers and others", the ACLU said in a submission to the court.
Mr. Cohen wrote in court papers that such electronic surveillance "has permitted, and unless stopped, will continue to permit, the government to learn sensitive and privileged work product and strategy to which it has no lawful right".
Both papers focus on Facebook ads and show that in certain circumstances, advertisers — or snoops posing as advertisers — may be able to learn sensitive profile information, like a person's sexual orientation or religion, even if the person is sharing that information only with a small circle of friends.
To that end, we distribute the trust of the system between multiple parties, preventing a single malicious party to learn sensitive data.
Objective: To evaluate the appearance and diagnostics of VZV in CNS more thoroughly, we studied the cases systematically by using sensitive and specific methods to learn the best diagnostic approach in order to start specific therapy.
To solve this issue, in this paper we propose a cost sensitive decision tree algorithm with two adaptive mechanisms to learn cost sensitive decision trees from training data sets based on C4.5 algorithm.
Suppose a client wants to obtain M 1 M 2. The cloud server is not allowed to learn any sensitive information such as the input matrices, the actual output.
